Musical Genres Classification Utilizing the Pre-trained ResNet50 CNN Model and Deep Learning Techniques-Reference-Cited by-同舟云学术

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Musical Genres Classification Utilizing the Pre-trained ResNet50 CNN Model and Deep Learning Techniques

Published:2024-02-21 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM)
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Author:

Mittal Khushi¹,Gill Kanwarpartap Singh¹,Kumar Mukesh²,Rawat Ruchira³,Chythanya Kanegonda Ravi⁴

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

2. Graphic Era Hill University,Computer Science & Engineering,Dehradun,Uttarakhand,India

3. Graphic Era Deemed to be University,Computer Science & Engineering,Dehradun,Uttarakhand,India

4. SR University,School of Computer Science & Artificial Intelligence,Warangal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10562381/10563197/10563697.pdf?arnumber=10563697

Reference20 articles.

1. A hybrid deep learning approach for classification of music genres using wavelet and spectrogram analysis

2. An Efficient VGG19 Framework for Malaria Detection in Blood Cell Images

3. Novel mathematical model for the classification of music and rhythmic genre using deep neural network

4. Hybrid CNN-SVM Approach with Regularization for Accurate Classification of Images: A Case Study on Rudraksha Beads

5. Holistic Approaches to Music Genre Classification using Efficient Transfer and Deep Learning Techniques

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